摘要
Growth charts for gross anthropometric traits,such as height,weight,and head circumference,are cornerstones of pediatric care around the world.This modelling approach is centered around measuring the relative deviations from normative trajectories rather than the absolute values of these phenotypes[1].To this end,it is imperative that normative models are not only robust in terms of the statistical framework on which they are built。
基金
the Horizon 2020 funded ERC Advanced Grant“STRATIFY”(Brain network based stratification of reinforcement-related disorders)(695313)
Human Brain Project(HBP SGA 3945539)
the Medical Research Council Grant“c-VEDA”(Consortium on Vulnerability to Externalizing Disorders and Addictions)(MR/N000390/1)
the NIH Consortium grant U54 EB020403
supported by a cross-NIH alliance that funds Big Data to Knowledge Centres of Excellence
Jakob Seidlitz is supported by a Ruth L.Kirschstein Institutional National Research Service Award(NRSA)research training grant(Parent T32)
Richard A.I.Bethlehem is supported by a British Academy Post-Doctoral Fellowship and the Autism Research Trust
Bharath Holla is partly supported by DBT(BT/PR17316/MED/31/326/2015)
Accelerator Program for Discovery in Brain Disorders using Stem Cells and c-VEDA(Consortium on Vulnerability to Externalizing Disorders and Addictions-Grant:ICMR/MRC-UK/3/M/2015-NCD-I)。
